Engineering Manager, Data AI & Analytics

Position Title: Engineering Manager, Data AI & Analytics
Position Type: Regular - Full-Time
Requisition ID: 42289
In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.
About the role.
Reporting to the Director of Platform Engineering, Data AI & Analytics, the Data Engineer Manager leads and develops a team of Data Engineers while remaining hands-on in the delivery of scalable, high-quality data solutions. This role plays a critical part in McCain's global digital transformation by enabling reliable, performant, and trusted data across Agriculture, Manufacturing, and Commercial domains. The Data Engineer Manager partners closely with data architects, analytics teams, and business stakeholders to support enterprise-wide, data-driven decision-making.
What you'll be doing.

• Lead Data Engineering teams in the design, development, and implementation of scalable data pipelines and data objects across McCain systems
• Provide hands-on technical leadership, coaching, and day-to-day guidance to Data Engineers
• Own end-to-end data ingestion and delivery, including pipeline design, development, maintenance, and supporting infrastructure
• Ensure efficient ELT processes to extract, load, and transform data into the Enterprise Data Platform
• Partner with Data Architects to define and maintain optimized data models, schemas, and database designs
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into actionable data solutions
• Establish and maintain documentation standards to support Data-as-a-Service and scalable knowledge sharing
• Lead and participate in code reviews, mentoring junior engineers and promoting engineering best practices
• Drive automation, CI/CD, and DevOps practices to improve reliability, scalability, and deployment efficiency
• Continuously evaluate emerging data engineering technologies and incorporate improvements into existing platforms

What you'll need to be successful.

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• Proven experience as a Data Engineer delivering end-to-end data solutions
• Proficiency in one or more languages such as Python, SQL, Java, Scala, Spark, or PySpark
• Experience with modern data platforms such as Databricks, Azure Synapse, Redshift, or similar
• Strong knowledge of data modeling, database design, and data warehousing concepts
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud
• Experience leading or managing agile software development teams
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
• Preferred: advanced degree, cloud certifications, DevOps and CI/CD experience, exposure to machine learning or AI technologies, and significant experience leading technical teams

About the team.
You will lead a team of Data Engineers within McCain's Global Data, AI & Analytics organization. The team partners closely with Platform Engineering, Data Architecture, Analytics, and Digital Product teams to deliver enterprise-grade data capabilities that support McCain's global business and digital transformation agenda.
About McCain.
Click Here to learn more about McCain and how we provide opportunities to make an impact that matters.
Leadership principles.

• Understanding customer needs
• Driving innovation
• Empowering people
• Taking ownership to deliver results

The McCain experience.
At McCain, you'll be part of a collaborative, global team that values curiosity, continuous learning, and shared success. We foster an inclusive environment where diverse perspectives are encouraged, leadership is developed at all levels, and individuals are empowered to grow their careers while helping shape the future of food. Our flexible, hybrid work approach supports both personal wellbeing and high performance.
# LI-MG1 #LI-Hybrid
Compensation Package : $102,700.00 - $137,000.00 . CAD annually + Bonus Eligibility
The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs. This posting is for an existing vacancy.
Benefits: At McCain, we're on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person's needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following benefits: health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well-being programs include vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned with country, provincial and state governing plans and can vary by work level, location and nature of the role. Additional benefit detail available during the application process.
Your well-being matters to us, and we're here to provide you with the necessary resources to support you in being your best self at work - and at home.
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know , and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy , as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here .
Job Family: Information Technology
Location(s): CA - Canada : Ontario : Toronto
Company: McCain Foods (Canada)